Are there any other machine learning models apart from Reinforcement Learning and Q Learning to play video games?
As I see it, it all comes down to game theory, which can be said to form the foundation of successful decision making, and is particularly useful in a context, such as computing, where all parameters can be defined.  (Where it runs into trouble is with the aggregate complexity of the parameters per the combinatorial explosion, although Machine Learning has recently been validated as a method of managing intractability specifically in the context of games.)
You might want to check out Playing Games with Genetic Algorithms and Evolutionary game theory.